Journal ArticleDOI
Defect recognition in numerical images by spectrum zero detection
TLDR
In this paper, a statistical approach, taking noise into account, in which the image signal is taken to be a Gaussian Markovian process, is presented, and results of constant speed smear detection are also given.About:
This article is published in Computer Graphics and Image Processing.The article was published on 1976-06-01. It has received 2 citations till now. The article focuses on the topics: Fourier transform & Noise (signal processing).read more
Citations
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Journal ArticleDOI
Picture processing: 1976
TL;DR: A bibliography of over 450 References related to the computer processing of pictorial information, arranged by subject matter is presented, including digitization rind compression; transforms and filtering; enhancement, restoration, and reconstruction.
Journal ArticleDOI
Identification des défauts de prise de vue entachant une image
Henri Maitre,Jacques Fleuret +1 more
TL;DR: In this article, the authors present deux methodes permettant d'identifier les defauts degradant une image par suite d'erreurs de prises de vue : defocalization, mouvement uniforme, vibrations.
References
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Journal ArticleDOI
Properties of a Defocused Optical System
TL;DR: In this article, the exact diffraction optical transfer function (OTF) and point spread function (PSF) are compared to the geometrical OTF and PSF, respectively, for both small and large amounts of defocusing.
Journal ArticleDOI
Image Coding by Linear Transformation and Block Quantization
A. Habibi,P. Wintz +1 more
TL;DR: The feasibility of coding two-dimensional data arrays by first performing a two- dimensional linear transformation on the data and then block quantizing the transformed data is investigated.
Journal ArticleDOI
Analyse de la compression d’information sur la transformée de Fourier d’une image
TL;DR: In this paper, the authors define a processus de Markov normal (PMN) permettant de representing le signal issu de l'analyse d'une image, determine differentes lois de probabilite sur la transformee de Fourier du signal, and a partir of ces expressions, il est possible dexprimer le taux de compression that l'on obtient en ne codant que les echantillons de module important du spectre and de chiffrer the degradation resultant of cette compression.
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